CN119740762B - Smart city-based treatment event monitoring method - Google Patents
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Abstract
The invention discloses a treatment event monitoring method based on a smart city, which particularly relates to the field of urban treatment event monitoring, and comprises the steps of counting the distribution of mobile catering through diversified dynamic monitoring equipment, calculating the aggregation density and adjusting the monitoring frequency; the optical detection element and the GPS positioning device are integrated, the light source period and the sensor acquisition time are synchronously controlled, an image is acquired according to the density change of the monitoring area, the distribution of plane liquid in the image is identified, and the position is marked as a suspicious illegal discharge position. The method comprises the steps of adjusting the position of monitoring equipment to ensure that a reflection light path covers a suspicious position, calculating the propagation direction of the reflection light path, moving a receiving point until interference fringes are detected, analyzing the change of hue values of interference images after the interference images are acquired, judging whether rainbow interference effects exist, and further estimating the dimensionless thickness of an oil film and marking the uploading illegal discharge positions if the interference effects exist.
Description
Technical Field
The invention relates to the technical field of urban treatment event monitoring, in particular to a treatment event monitoring method based on a smart city.
Background
In the management of smart cities, along with the rapid development of the mobile catering industry, how to effectively monitor and treat the illegal discharge problem of mobile catering in public areas becomes a difficult problem to be solved. Most of the existing monitoring means rely on manual inspection or traditional video monitoring, and have the defects of limited coverage range, low monitoring precision, low response speed and the like, so that real-time and accurate monitoring of illegal discharge behaviors of mobile catering is difficult to realize.
Therefore, how to introduce a real-time detection technology based on optical interference effect, and combine dynamic monitoring equipment (such as unmanned aerial vehicle, patrol car, etc.) and an accurate GPS positioning system to realize an intelligent city management method for determining whether illegal discharge behaviors exist in a flowing catering area by monitoring the dimensionless thickness of an oil film in discharged wastewater of the flowing catering gathering area, so that intelligent and omnibearing monitoring of the flowing catering area is a problem to be solved.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a smart city-based method for monitoring a governance event to solve the above-mentioned problems.
In order to achieve the above purpose, the present invention provides the following technical solutions:
s1, dividing a monitoring period and monitoring areas, carrying out distribution statistics on the number of catering individuals through diversified dynamic monitoring equipment, and calculating the aggregate density of mobile catering in each monitoring area;
s2, integrating an optical detection element with a GPS positioning device and implanting the optical detection element into diversified dynamic monitoring equipment, and synchronously aligning period switching of a light source and acquisition time of a sensor;
S3, deploying a plane liquid identification open source model, dynamically setting image acquisition frequencies of different monitoring periods according to linear proportion according to density changes of a time sequence dynamic aggregation density list of mobile catering of different monitoring areas, controlling diversified dynamic monitoring equipment to acquire and upload monitoring area images based on the set image acquisition frequencies, carrying out position identification on the distribution of plane liquid in the images, and marking the identification result as a suspicious illegal discharge position;
S4, processing the images of the monitoring areas marked by the suspicious positions of the illegal discharge in real time, and adjusting the specific positions of the dynamic monitoring devices so that the coaxial connecting line between the two dynamic monitoring devices at the horizontal plane passes through the suspicious positions of the illegal discharge, and simultaneously determining the starting point of the incident light source and the receiving point of the reflected light;
S5, calculating the propagation direction of the reflected light path based on the set incident angle, and controlling the reflected light receiving point to move in the vertical direction at one side of the reflected light path until the reflected light receiving point detects interference fringes;
s6, collecting interference images, extracting interference fringes in the images, analyzing hue value changes of the interference images, and judging whether rainbow interference effects exist at suspected positions of illegal emission;
and S7, when the existence of rainbow interference effect at the suspicious positions of illegal discharge is judged, estimating the dimensionless thickness of the oil film, and marking and uploading the illegal discharge positions.
In a preferred embodiment, in S1, the monitoring period and the monitoring area are divided, and the distribution statistics is performed on the number of catering individuals through the diversified dynamic monitoring device, and the calculating the mobile catering aggregate density of each monitoring area specifically includes:
Dividing a predefined conventional operation period of urban mobile catering into equidistant monitoring periods, and carrying out distribution statistics on the number of mobile catering individuals in all the blocks of the city in different monitoring periods through diversified dynamic monitoring equipment;
Marking the daily gathering position of the mobile catering individuals as monitoring areas, wherein each monitoring area is at least provided with two diversified dynamic monitoring devices to cover the area, and calculating the mobile catering gathering density of each monitoring area based on the statistical quantity and the distribution range of the mobile catering individuals in the monitoring area;
and (3) carrying out time sequence integration based on demarcating the monitoring time period on the calculated aggregate density of each monitoring area, and establishing a time sequence dynamic aggregate density list of the mobile catering of different monitoring areas.
In a preferred embodiment, in S2, integrating the optical detection element with the GPS positioning device and implanting the optical detection element into the diversified dynamic monitoring device, the periodically switching of the synchronous alignment light source and the acquisition time of the sensor specifically include:
Integrating a light optical detection element and a GPS positioning device and implanting the light optical detection element into diversified dynamic monitoring equipment corresponding to each monitoring area, wherein the optical detection element at least comprises an LED light source, an optical collimation device and a CMOS sensor;
The LED light source array with the set wave band conversion is adopted, and the light sources of each wave band are alternately lightened according to a set period through pulse width modulation signals;
And synchronously aligning the periodic switching of the LED light source array with the acquisition time of the CMOS sensor through the synchronous trigger signal.
In a preferred embodiment, in S4, processing the monitored area image marked with the suspicious positions of the offending emission in real time, and adjusting the specific positions of the dynamic monitoring devices so that the coaxial line between the two dynamic monitoring devices at the horizontal plane passes through the suspicious positions of the offending emission, and simultaneously determining the starting point of the incident light source and the receiving point of the reflected light specifically includes:
Processing the uploaded monitoring area image in real time, analyzing the three-dimensional projection position of the suspicious illegal discharge position, and establishing a three-dimensional rectangular coordinate system with the suspicious illegal discharge position as the origin of coordinates;
Acquiring the real-time position of the diversified dynamic monitoring equipment through an integrated GPS positioning device, and converting the real-time position into coordinate representation in a three-dimensional rectangular coordinate system;
Selecting two dynamic monitoring devices closest to the origin of coordinates in a monitoring area, and adjusting the specific positions of the dynamic monitoring devices so that a coaxial connecting line between the two dynamic monitoring devices at a horizontal plane passes through the origin of coordinates and is distributed on two sides of the origin;
The monitoring equipment with lower height after position adjustment is selected as an emitting point of an LED incident light source, and the monitoring equipment with higher height is selected as a reflected light receiving point;
and adopting an optical collimating device to adjust parallel light beams emitted by an LED light source array of the incident light source starting point to be projected to the illegal emission suspicious position by setting the incident angle.
In a preferred embodiment, in S5, calculating the propagation direction of the reflected light path based on the set incident angle, and controlling the reflected light receiving point to move in the vertical direction on the side of the reflected light path until the reflected light receiving point detects the interference fringe specifically includes:
Calculating the propagation direction of the reflected light path based on the set incident angle, and controlling the reflected light receiving point to move in the vertical direction at one side of the reflected light path;
When the included angle between the connecting line of the reflected light receiving point and the three-dimensional rectangular coordinate origin and the ground is larger than the incident complementary angle, controlling the reflected light receiving point to move vertically downwards;
When the included angle between the connecting line of the reflected light receiving point and the three-dimensional rectangular coordinate origin and the ground is smaller than the incident complementary angle, controlling the reflected light receiving point to move vertically upwards;
and finishing adjustment until the reflected light receiving point is on the reflected light path and interference fringes are detected.
In a preferred embodiment, in S6, capturing an interference image and extracting interference fringes in the image, and analyzing the change of the hue value to determine whether the rainbow interference effect exists at the suspected position of illegal discharge specifically includes:
controlling a CMOS sensor on a reflected light receiving point to collect a plurality of continuous frames of interference images in the light source irradiation period of each wave band, and selecting an image with highest pixel saturation as an analysis image;
Converting the image from RGB color space to HSV color space, identifying and extracting interference fringes in the image by using an edge detection algorithm, analyzing hue value change of each extracted rainbow fringe area, and confirming color sequence of the fringes;
judging whether the color sequence of the interference fringes is continuous color bands from red to purple and has periodical change, if so, judging that the rainbow interference effect exists at the suspicious position of the current illegal discharge, and if not, judging that the rainbow interference effect does not exist at the suspicious position of the current illegal discharge.
In a preferred embodiment, in S7, when it is determined that the rainbow interference effect exists in the suspicious position of the illegal discharge, estimating the dimensionless thickness of the oil film, and labeling and uploading the suspicious position of the illegal discharge specifically includes:
when the rainbow interference effect exists at the suspected position of illegal discharge, an interference formula is used for estimating the dimensionless thickness of the oil film, and the method specifically comprises the following steps:
In the formula, Is to estimate the dimensionless thickness of the oil film,Is the set refractive index of the oil film,For the angle of incidence of the incident light,For the number of interference levels,For the number of interference stepsThe wavelength of the reflected light corresponds to the color of the interference fringe.
And marking the position where the estimated oil film dimensionless thickness exceeds the set monitoring dimensionless thickness threshold as the illegal discharge position, and uploading corresponding position information to the terminal of the illegal discharge management personnel.
The invention discloses a method for monitoring a treatment event based on a smart city, which has the technical effects and advantages that:
And counting the distribution of the mobile catering through diversified dynamic monitoring equipment, calculating the aggregation density and adjusting the monitoring frequency. The optical detection element and the GPS positioning device are integrated, the light source period and the sensor acquisition time are synchronously controlled, an image is acquired according to the density change of the monitoring area, the distribution of plane liquid in the image is identified, and the position is marked as a suspicious illegal discharge position. And (3) adjusting the position of the monitoring equipment to ensure that the reflecting light path covers the suspicious position, calculating the propagation direction of the reflecting light path, and moving the receiving point until the interference fringes are monitored. After the interference image is collected, the hue value change is analyzed, and whether the rainbow interference effect exists is judged. If the interference effect is confirmed, further estimating the dimensionless thickness of the oil film and marking the uploading illegal discharge position.
The scheme utilizes the principle of optical interference effect, and can accurately identify the oil film characteristics generated by the discharge of mobile catering by analyzing interference fringes of reflected light. And by combining the position adjustment function of the dynamic monitoring equipment, the monitoring of the interference effect is ensured not to be interfered by the outside, and the rapid identification and positioning of illegal discharge are realized. The method can provide a more efficient and accurate technical means for urban management, and assist in environmental supervision and pollution management in smart city construction.
Drawings
FIG. 1 is a schematic diagram of a method for monitoring a treatment event based on a smart city according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
FIG. 1 shows a method for monitoring a governance event based on a smart city, comprising the steps of:
s1, dividing a monitoring period and monitoring areas, carrying out distribution statistics on the number of catering individuals through diversified dynamic monitoring equipment, and calculating the aggregate density of mobile catering in each monitoring area;
s2, integrating an optical detection element with a GPS positioning device and implanting the optical detection element into diversified dynamic monitoring equipment, and synchronously aligning period switching of a light source and acquisition time of a sensor;
S3, deploying a plane liquid identification open source model, dynamically setting image acquisition frequencies of different monitoring periods according to linear proportion according to density changes of a time sequence dynamic aggregation density list of mobile catering of different monitoring areas, controlling diversified dynamic monitoring equipment to acquire and upload monitoring area images based on the set image acquisition frequencies, carrying out position identification on the distribution of plane liquid in the images, and marking the identification result as a suspicious illegal discharge position;
S4, processing the images of the monitoring areas marked by the suspicious positions of the illegal discharge in real time, and adjusting the specific positions of the dynamic monitoring devices so that the coaxial connecting line between the two dynamic monitoring devices at the horizontal plane passes through the suspicious positions of the illegal discharge, and simultaneously determining the starting point of the incident light source and the receiving point of the reflected light;
S5, calculating the propagation direction of the reflected light path based on the set incident angle, and controlling the reflected light receiving point to move in the vertical direction at one side of the reflected light path until the reflected light receiving point detects interference fringes;
s6, collecting interference images, extracting interference fringes in the images, analyzing hue value changes of the interference images, and judging whether rainbow interference effects exist at suspected positions of illegal emission;
and S7, when the existence of rainbow interference effect at the suspicious positions of illegal discharge is judged, estimating the dimensionless thickness of the oil film, and marking and uploading the illegal discharge positions.
In S1, dividing a monitoring period and monitoring areas, carrying out distribution statistics on the number of catering individuals through diversified dynamic monitoring equipment, and calculating the mobile catering aggregation density of each monitoring area.
The monitoring period of the urban mobile catering is divided into equidistant time periods, so that uniformity and comparability of monitoring data are ensured. In each monitoring period, a plurality of dynamic monitoring devices (such as unmanned aerial vehicle, patrol car, movable high-definition monitoring camera and the like) are adopted to count the quantity of mobile catering individuals in all the blocks of the city, and the distribution of the mobile catering individuals in different blocks in each period is obtained. The division of each monitoring period is specifically set according to the activity rule of mobile catering and the urban traffic flow characteristics, and the default predefined conventional operation period is divided into monitoring periods with an interval of one hour at 6:00-9:00 am and 17:00-21:00 pm.
The daily gathering locations of the mobile catering individuals are marked as monitoring areas (e.g. cell gates, streets, etc.). At least two diversified dynamic monitoring devices (at least one of which can dynamically displace to receive reflected light) are arranged in each monitoring area, so that no blind spot is generated in the monitoring of the area. And through the cooperative work of the diversified dynamic monitoring equipment, the quantity and position data of the mobile catering individuals in the areas are collected in real time, and the mobile catering aggregation density in each monitoring area is calculated.
And (3) carrying out time sequence integration on the calculated aggregate density data of the flowing catering in the monitoring area, and establishing time sequence dynamic aggregate density of the flowing catering based on the defined monitoring period. And generating a time sequence dynamic aggregation density list of the mobile catering through time sequence data analysis so as to facilitate subsequent analysis and monitoring.
In S2, the optical detection element and the GPS positioning device are integrated and implanted into the diversified dynamic monitoring equipment, and the periodic switching of the light source and the acquisition time of the sensor are synchronously aligned.
The light-weight optical detection element is integrated with the GPS positioning device and is implanted into diversified dynamic monitoring equipment corresponding to each monitoring area, wherein the optical detection element at least comprises an LED light source, an optical collimation device and a CMOS sensor, the LED light source is used for providing light source irradiation, the optical collimation device is used for adjusting the propagation direction of light beams, and the light beams are ensured to irradiate the target area. The CMOS sensor is used for receiving the reflected light and collecting light reflection information in the area.
With an array of LED light sources with a set band shift, the light sources of each band are alternately illuminated with pulse width modulated signals with a set period (set between 1ms and 10 ms), with the band settings being specifically 400-420nm (violet), 420-495nm (blue), 495-570nm (green), 570-590nm (yellow), 590-620nm (orange), 620-700nm (red).
And the periodic switching of the LED light source array is synchronously aligned with the acquisition time of the CMOS sensor through the synchronous trigger signal, so that the corresponding wave band relation between the acquired reflected light and the incident light is ensured.
In S3, the deployed open source models (such as U-Net, mask R-CNN and the like) can identify different types of liquids through deep learning training, and extract key characteristics such as shapes, boundaries, transparency and the like. The model extracts the liquid region through an image segmentation technique, and the recognition accuracy is further optimized by using a Convolutional Neural Network (CNN). Based on the physical characteristics of the liquid, the model can distinguish the liquid from the common road surface, and quick judgment is made based on the characteristics of pixel values, color changes and the like in the image.
The density variation is mapped to the acquisition frequency by a linear algorithm. For example, if the density of the catering flowing in the monitoring area is increased, the image acquisition frequency is correspondingly increased in equal proportion to capture more detailed information, and when the density is lower, the acquisition frequency can be appropriately reduced to save resources and improve efficiency.
By morphological analysis and color space conversion, the liquid distribution area is identified as a suspected place of illegal discharge (the presence of liquid distribution does not necessarily mean discharge of food waste accompanied by an oil film or the like).
In S4, the monitoring area image marked with the suspicious positions of the illegal discharge is processed in real time, and the specific positions of the dynamic monitoring devices are adjusted, so that the coaxial connecting line between the two dynamic monitoring devices at the horizontal plane passes through the suspicious positions of the illegal discharge, and meanwhile, the starting point of the incident light source and the receiving point of the reflected light are determined.
And converting the two-dimensional image data of the monitoring area into positions in a three-dimensional coordinate system, and calculating the spatial positions of liquid distribution according to the ratio of the image resolution to the ground actual size. And carrying out three-dimensional projection analysis through known monitoring area coordinates, sensor positions and image data, determining the space position of the suspicious position of illegal discharge, and taking the position as the origin of coordinates of a three-dimensional rectangular coordinate system. In a three-dimensional rectangular coordinate system, an origin is established, directions of an X axis, a Y axis and a Z axis are determined, wherein the X axis and the Y axis are coordinate axes on a horizontal plane, and the Z axis is a coordinate axis perpendicular to the ground, so that the coordinate system is ensured to conform to the physical space of an actual monitoring area.
Each dynamic monitoring device is provided with a high-precision GPS positioning device, and coordinate information of the position of the device is transmitted in real time. The geographic coordinates of the device are obtained via GPS data, including longitude, latitude, and altitude. And converting the acquired GPS coordinate information (longitude, latitude and altitude in a geographic coordinate system) into position data in a three-dimensional rectangular coordinate system through an algorithm. The conversion uses a preset Geographic Information System (GIS) algorithm to ensure the seamless joint of the GPS coordinates and the three-dimensional coordinate system.
According to the three-dimensional coordinate system calculated in real time, two dynamic monitoring devices closest to the suspected illegal emission position are selected. The two devices should have a minimum spatial distance and be able to collectively cover the offending discharge location. By fine tuning the position of the monitoring device, it is ensured that the two devices are located on both sides of a coaxial line on the horizontal plane, and that the line passes through the origin of coordinates. Adjusting the position of the device may be accomplished by moving the device or changing its angle of rotation.
The low-height equipment near the suspected illegal discharge position on the horizontal plane is selected, so that the light source can be projected to the target position at a set angle, and the light propagation path is shortest. By using high precision optical collimating means, it is ensured that the light beam emitted from the LED light source forms a parallel light beam after collimation. The parallelism of the light beams ensures the uniformity of light propagation and avoids irregular light beam scattering.
In S5, the propagation direction of the reflected light path is calculated based on the set incident angle, and the reflected light receiving point is controlled to move in the vertical direction on one side of the reflected light path until the reflected light receiving point detects the interference fringes.
The propagation direction of the reflected light path is calculated based on the set incident angle, and when the reflected light receiving point deviates from a predetermined light path, the position thereof is adjusted by controlling the movement of the reflected light receiving point in the vertical direction (Z-axis direction). The movement can be realized by adjusting the height of the unmanned aerial vehicle and the height of a signal receiving device of the patrol car.
And judging the position deviation of the receiving point by calculating the included angle between the connecting line between the reflected light receiving point and the origin and the ground. It is necessary to determine the angle of the reflected light receiving point relative to the ground using a dot product operation in a three-dimensional coordinate system. When the included angle is larger than the incident complementary angle, the position of the reflected light receiving point is higher, and the reflected light receiving point should move downwards along the Z axis (vertical direction).
And calculating the included angle between the connecting line of the reflected light receiving point and the origin of coordinates and the ground by the same method. If the included angle is smaller than the incident complementary angle, the reflected light receiving point is too low, and the position of the reflected light receiving point needs to be adjusted. In this case, the reflected light receiving point should be moved upward along the Z-axis (vertical direction) until the angle is restored to the set condition. In this way, alignment of the reflected light receiving point with the reflected light path is ensured.
When the reflected light receiving point is on the reflected light path, interference fringes of the reflected light are monitored in real time through an optical sensor (CMOS sensor). The occurrence of interference fringes indicates that the interference effect of the reflected light and the incident light occurs, indicating that the receiving point positions have been precisely aligned.
In S6, an interference image is acquired, interference fringes in the image are extracted, and the hue value change is analyzed to judge whether the rainbow interference effect exists at the suspected position of illegal discharge.
By controlling the periodic variation of the light source, the CMOS sensor receives successive frames (3 frames or more, default set to 3 frames) of interference images at the reflected light receiving point. Each acquired image covers interference phenomena at different time points, and dynamically-changed interference fringes can be captured. And adopting the pixel saturation as an index of image quality, and selecting an image with highest saturation for subsequent analysis by calculating the saturation values of all pixels in each frame of image. The method ensures that the acquired image reaches the optimal state in the aspects of brightness, contrast and the like, thereby being capable of extracting the interference fringe features more accurately.
Converting the image from RGB color space to HSV color space, processing the converted HSV image by applying classical edge detection algorithm (such as Canny edge detection), and extracting the edge information of interference fringes.
For each extracted rainbow fringe area, a corresponding hue value (H value) is extracted. Hue values represent the basic class of colors, typically in the range of 0 ° to 360 °. In the rainbow interference effect, the color of the fringes should change sequentially from red (low hue value) to violet (high hue value).
By analyzing the successive interference fringe areas, it is checked whether the hue values exhibit a periodic variation, i.e. whether the color of the fringe transitions from red to violet in sequence. The periodic variation is characteristic of typical interference effects, if yes, the existence of rainbow interference effects at the suspicious positions of the current illegal discharge is judged, and if no, the nonexistence of rainbow interference effects at the suspicious positions of the current illegal discharge is judged.
In S7, when the existence of rainbow interference effect at the suspicious position of illegal discharge is judged, estimating the dimensionless thickness of the oil film, and labeling and uploading the illegal discharge position.
When the rainbow interference effect exists at the suspected position of illegal discharge, an interference formula is used for estimating the dimensionless thickness of the oil film, and the method specifically comprises the following steps:
In the formula, Is to estimate the dimensionless thickness of the oil film,Is the set refractive index of the oil film,For the angle of incidence of the incident light,For the number of interference levels,For the number of interference stepsIn practical application, the interference series is usually determined by an image analysis method, and the method realizes rapid identification of the dimensionless thickness of the oil film by uniformly scale-converting the images and monitoring the interference series at the same position in all the images.
And marking the position where the estimated oil film dimensionless thickness exceeds a set monitoring dimensionless thickness threshold value (dynamically set based on historical data, regulation standards or urban environment requirements) as an illegal discharge position, uploading corresponding position information to a terminal of an illegal discharge treatment person, and displaying the illegal discharge position information through a map or a graphical interface after terminal equipment of the treatment person receives the illegal discharge position information, so that the person can be helped to quickly locate and respond, and further the treatment is performed.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. The storage medium includes a U disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally, the foregoing description of the preferred embodiment of the invention is provided for the purpose of illustration only, and is not intended to limit the invention to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (7)
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| CN202510258297.XA CN119740762B (en) | 2025-03-06 | 2025-03-06 | Smart city-based treatment event monitoring method |
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